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Table 1 Seven QSAR datasets Dataset Output Number of compounds Number of descriptors after preprocessing AquaticTox Numeric 322 184 bbb2 2 Categories 79 22 Caco-PipelinePilotFP 3 Categories 3796 379 Caco-QuickProp 3 Categories 3796 47 MeltingPoint Numeric 4126 169 Mutagen 2 Categories 4335 1283 PLD 2 Categories 324 308 Summary of 7 QSAR datasets.
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The expected strand for a dataset can be easily configured, and when mapping stranded datasets, output files summarizing mapping results are created for each strand, allowing analysis and visualization of strand mapping specificity.
The proposed reflection model operates on an image dataset to output the reconstructed shape.
For the work presented here, we have simplified the problem by limiting our input dataset and output results.
For each dataset, the output consists of a single html5 page containing several plots allowing non-specialists to visually inspect the results.
To experimentally verify the false discovery rate (FDR) in our dataset, all output files were searched against the reversed IPI Mouse database, yielding an FDR of ~1.8%.
While the individual contribution of redundant genes is always the same for a particular dataset, the output from the various lists in which they are located is context-dependent and can be highly variable.
Given a set of mutations in an exome/genome sequence dataset, the output is a ranked list of genes that prioritizes the best candidate driver genes and classifies them as TSGs or OGs.
An algorithm Input: A gene-expression profiles dataset D Output: A small subset of genes as genetic markers and a prediction model for NSCLC lung cancer Preparation: Discretize the gene-expression profile values.
From our previous and current experiments, we applied anonymization on verities of datasets, and we found that anonymizing most datasets will output a Ɗ below 5%.
Fewer datasets capture output or system metrics, the most notable of these are a comprehensive yield dataset and several global yield gap maps.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com